The Philosophy and Science of Predictive Processing, Dina Mendonca, Manuel Curado, Steven S. Gouveia
Автор: Senior Mike Название: Mixing Secrets for the Small Studio ISBN: 1138556378 ISBN-13(EAN): 9781138556379 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discover how to achieve release-quality mixes even in the smallest studios by applying power-user techniques from the world`s most successful producers.
Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food processing. Also, examples of ANNs in food processing applications such as pasteurization control are illustrated.
Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food processing. Also, examples of ANNs in food processing applications such as pasteurization control are illustrated.
Описание: Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.
Автор: Kirchhoff Название: Extended Consciousness and Predictive Processing ISBN: 1138556815 ISBN-13(EAN): 9781138556812 Издательство: Taylor&Francis Рейтинг: Цена: 8573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The idea that the mind is extended and embedded in the world is one the biggest and most exciting areas of research in philosophy and cognitive science in recent years.
Автор: Mendonзa Dina, Curado Manuel, Gouveia Steven S. Название: The Philosophy and Science of Predictive Processing ISBN: 1350099759 ISBN-13(EAN): 9781350099753 Издательство: Bloomsbury Academic Рейтинг: Цена: 29887.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores how predictive processing, which argues that our brains are constantly generating and updating hypotheses about our external conditions, sheds new light on the nature of the mind. It shows how it is similar to and expands other theoretical approaches that emphasize the active role of the mind and its dynamic function.
Offering a complete guide to the philosophical and empirical implications of predictive processing, contributors bring perspectives from philosophy, neuroscience, and psychology. Together, they explore the many philosophical applications of predictive processing and its exciting potential across mental health, cognitive science, neuroscience, and robotics.
Presenting an extensive and balanced overview of the subject, The Philosophy and Science of Predictive Processingis a landmark volume within philosophy of mind.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 45636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
Описание: Novel food processing technologies have significant potential to improve product quality and process efficiency. Commercialisation of new products and processes brings exciting opportunities and interesting challenges. Case studies in novel food processing technologies provides insightful, first-hand experiences of many pioneering experts involved in the development and commercialisation of foods produced by novel processing technologies.Part one presents case studies of commercial products preserved with the leading nonthermal technologies of high pressure processing and pulsed electric field processing. Part two broadens the case histories to include alternative novel techniques, such as dense phase carbon dioxide, ozone, ultrasonics, cool plasma, and infrared technologies, which are applied in food preservation sectors ranging from fresh produce, to juices, to disinfestation. Part three covers novel food preservation techniques using natural antimicrobials, novel food packaging technologies, and oxygen depleted storage techniques. Part four contains case studies of innovations in retort technology, microwave heating, and predictive modelling that compare thermal versus non-thermal processes, and evaluate an accelerated 3-year challenge test.With its team of distinguished editors and international contributors, Case studies in novel food processing technologies is an essential reference for professionals in industry, academia, and government involved in all aspects of research, development and commercialisation of novel food processing technologies.
Автор: Schilling Robert J Название: Digital Signal Processing Using MATLAB ISBN: 1305636600 ISBN-13(EAN): 9781305636606 Издательство: Cengage Learning Рейтинг: Цена: 10770.00 р. Наличие на складе: Нет в наличии.
Описание: Focus on the development, implementation, and application of modern DSP techniques with DIGITAL SIGNAL PROCESSING USING MATLAB (R), 3E. Written in an engaging, informal style, this edition immediately captures your attention and encourages you to explore each critical topic. Every chapter starts with a motivational section that highlights practical examples and challenges that you can solve using techniques covered in the chapter.
Each chapter concludes with a detailed case study example, a chapter summary with learning outcomes, and practical homework problems cross-referenced to specific chapter sections for your convenience. DSP Companion software accompanies each book to enable further investigation. The DSP Companion software operates with MATLAB (R) and provides intriguing demonstrations as well as interactive explorations of analysis and design concepts.
Автор: Dimitris G. Manolakis Название: Statisical and Adaptive Signal Processing ISBN: 1580536107 ISBN-13(EAN): 9781580536103 Издательство: Artech House Рейтинг: Цена: 29117.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Originally published by McGraw-Hill and now reissued by Artech House, this definitive volume offers a unified, comprehensive and practical treatment of statistical and adaptive signal processing. Written by leading experts in industry and academia, the book covers the most important aspects of the subject, such as spectral estimation, signal modeling, adaptive filtering, and array processing.
Автор: Clarke, Bertrand S. (university Of Nebraska, Lincoln) Clarke, Jennifer L. (university Of Nebraska, Lincoln) Название: Predictive statistics ISBN: 1107028280 ISBN-13(EAN): 9781107028289 Издательство: Cambridge Academ Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and `black box` settings, with computed examples.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
